Statistics for Bioinformatics: Methods for Multiple Sequence Alignment

by Julie Thompson

Overview

Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of novel multiple sequence alignment algorithms and more efficient programs.

Product Details

ISBN-13:	9781785482168
Publisher:	Elsevier Science
Publication date:	12/01/2016
Edition description:	UK ed.
Pages:	146
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Julie Dawn Thompson is a Senior Scientist at the French National Center for Scientific Research with expertise in theoretical bioinformatics, data mining, knowledge engineering, integrative bioinformatics and genomics, (LBGI) Stochastic Optimization and Nature inspired Computing (SONIC)

Table of Contents

PART I: Fundamental concepts
1. Introduction
2. Multiple sequence applications

PART II: Traditional multiple sequence alignment methods
3. Heuristic approaches
4. Statistical approaches
5. Objective functions
6. Alignment benchmarks

PART III: Large-scale multiple sequence alignment methods
1. Efficient methods for multiple alignment of complete genome sequences
2. Efficient methods for multiple alignment of 1,000’s of sequences
3. HPC implementations
4. Alignment quality analysis

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From the Publisher

This reference reviews the methods for constructing and analyzing multiple sequence alignments—one of the cornerstones of bioinformatics